Job
Description
Role Overview: You will be joining Myntra, India's leading fashion and lifestyle platform, as the Associate Director of Machine Learning Platforms. Your primary responsibility will be to lead the development and expansion of the company's state-of-the-art ML platform. Your role will involve building and leading high-performing engineering teams in a dynamic, fast-paced environment to accelerate time-to-market and maintain the company's leadership in fashion and technology. Ultimately, you will drive AI-powered growth and operational excellence across the organization. Key Responsibilities: - Define and own the technical roadmap and architectural vision for the entire MLOps lifecycle, including feature engineering, model serving, and monitoring. - Implement the ML platform strategy by overseeing core components like the feature store, model registry, and experiment tracking frameworks. - Collaborate with Engineering, ML, and Insights teams to foster a data-driven culture within the organization. - Collaborate closely with Data Scientists to understand their modeling needs and translate them into robust platform capabilities. - Engage with key stakeholders across Product, Marketing, and Operations to drive data governance, quality, and compliance. - Build and lead high-performing machine learning engineering teams and mentor senior ML engineers on complex technical challenges. - Ensure the reliability, scalability, and cost-effectiveness of the ML platform and optimize cloud infrastructure for efficiency and performance. - Stay updated with industry trends and advancements in AI/ML, drive research, and lead Proof of Concepts (POCs) to introduce new technologies to solve unique business problems. Qualifications: - A Bachelors or Masters degree in Computer Science, Engineering, or a related ML field. - 14+ years of professional experience in software or data engineering, with at least 5+ years in a senior leadership role managing a large team. - A minimum of 5+ years of specific, hands-on experience as a Machine Learning Engineer. - Proven experience (minimum 3 years) in an architect or lead role focused on building and scaling ML platforms. - Experience in a high-scale e-commerce or tech-driven company is highly preferred. Required Skills: - Deep MLOps Expertise: designing and implementing a complete MLOps stack in a production environment. - Big Data & Feature Engineering: Expertise with distributed data processing technologies like Apache Spark and designing feature stores. - Cloud and Distributed Systems: Strong knowledge of a major cloud platform (preferably Microsoft Azure/GCP) and distributed systems architecture. - Orchestration & Deployment: Understanding of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models. - ML Frameworks: Hands-on knowledge of popular ML frameworks such as PyTorch, TensorFlow, and scikit-learn. - Generative AI: Experience with modern Generative AI technologies, including Large Language Models (LLMs) and vector databases. - Technical Leadership: Track record of leading engineering teams, defining architectural best practices, and driving impactful technical decisions. Role Overview: You will be joining Myntra, India's leading fashion and lifestyle platform, as the Associate Director of Machine Learning Platforms. Your primary responsibility will be to lead the development and expansion of the company's state-of-the-art ML platform. Your role will involve building and leading high-performing engineering teams in a dynamic, fast-paced environment to accelerate time-to-market and maintain the company's leadership in fashion and technology. Ultimately, you will drive AI-powered growth and operational excellence across the organization. Key Responsibilities: - Define and own the technical roadmap and architectural vision for the entire MLOps lifecycle, including feature engineering, model serving, and monitoring. - Implement the ML platform strategy by overseeing core components like the feature store, model registry, and experiment tracking frameworks. - Collaborate with Engineering, ML, and Insights teams to foster a data-driven culture within the organization. - Collaborate closely with Data Scientists to understand their modeling needs and translate them into robust platform capabilities. - Engage with key stakeholders across Product, Marketing, and Operations to drive data governance, quality, and compliance. - Build and lead high-performing machine learning engineering teams and mentor senior ML engineers on complex technical challenges. - Ensure the reliability, scalability, and cost-effectiveness of the ML platform and optimize cloud infrastructure for efficiency and performance. - Stay updated with industry trends and advancements in AI/ML, drive research, and lead Proof of Concepts (POCs) to introduce new technologies to solve unique business problems. Qualifications: - A Bachelors or Masters degree in Computer Science, Engineering, or
